Data Driven Differentiation in the Standards-Based Classroom

by Gayle H. Gregory

• ISBN13: 9780761931584
• ISBN10: 0761931589
• Format: Paperback
• Copyright: 2004-02-06
• Publisher: Corwin Pr

Summary

Step-by-step guidance and a generous collection of templates, rubrics, and planners make this an essential resource for every instructional leader who wants to design differentiated instruction with student success in mind.

Table of Contents

Preface	ix
About the Authors	xiii
Introduction: Differentiating With Data for Student Growth and Achievement	1	(12)
What Is Our Target?	1	(1)
Why Differentiate?	2	(1)
Theaters of the Mind: Learning Systems and the Brain	3	(4)
Learning Systems and Student Growth	7	(1)
Connecting Data to Learning	8	(1)
Using Classroom Data to Plan Differentiated Instructional Strategies	9	(1)
Targeting Growth for All Students	10	(3)
1. Collecting Data to Create a Positive Classroom Climate	13	(16)
Positive Classroom Connections	13	(2)
Assessing the Learning Environment	15	(1)
Using Feedback	16	(4)
Ritual, Respect, and Cultural History	20	(2)
Differentiating Classroom Climate	22	(4)
Differentiating Celebration and Praise	26	(1)
Summary	27	(2)
2. Collecting Data to Know the Learner	29	(22)
Going With the Flow	29	(1)
Different Learning Styles	30	(8)
Different Intelligences	38	(7)
Student Contracting for Reflective Learning	45	(1)
Intelligent Behaviors	46	(2)
Reflections	48	(3)
3. Collecting and Using Assessment Data for Diagnostic Teaching	51	(26)
Diagnostic Teaching	52	(1)
Pre-Assessment	52	(13)
Formative Assessment	65	(5)
Final Assessment	70	(3)
Assessing Our Assessments	73	(3)
Summary	76	(1)
4. Curriculum Approaches for Data Driven Instruction	77	(38)
Curriculum Mapping and Data Driven Instruction	77	(2)
Standards-Based Unit Planning: Sample Math Unit on Data Analysis and Probability, "The Survey Says...," Grades 3 to 5	79	(10)
Critical Questions for Unit Planning	89	(3)
Pre-Assessing the Learning Gap for Unit Planning	92	(2)
Chunking the Learning	94	(1)
Summary	95	(1)
Other Sample Unit Plans	96	(19)
5. Adjustable Assignments for Differentiated Learning	115	(18)
Options for Differentiated Learning	115	(2)
Adjustable Learning Grids	117	(1)
Adjustable Learning Elements	117	(5)
Flexible Grouping	122	(4)
Differentiating Pairs	126	(2)
Differentiating Small Groups	128	(4)
Summary	132	(1)
6. Instructional Strategies That Increase Student Learning	133	(40)
The Art and Science of Teaching	133	(1)
Memory Processes and the Cognitive Learning System	134	(6)
Differentiating Instructional Strategies	140	(2)
Recognizing Similarities and Differences/Using Metaphors and Analogies	142	(9)
Summarizing and Note Taking	151	(1)
Homework and Practice	152	(3)
Nonlinguistic Representations	155	(12)
Cooperative Group Learning	167	(4)
Summary	171	(2)
7. Data Driven Lesson Planning for Differentiated Learning	173	(22)
Using Data for Lesson Planning	173	(1)
Essential Elements for Data Driven Lesson Planning	174	(3)
Chunking the Learning for Sample Unit Plans	177	(13)
Summary	190	(1)
Conclusion: Putting It All Together for Student Growth and Achievement	191	(1)
How Do We Do All This Without Running From the Room Screaming?	191	(1)
What Can We Learn From the Errors and Successes of the Best Teachers?	192	(1)
Why Is It Always About the Student?	193	(2)
References	195	(4)
Index	199